class_docstr: The Speech Commands dataset for keyword detection.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      dl_path, dl_test_path = dl_manager.download(
          [_DOWNLOAD_PATH, _TEST_DOWNLOAD_PATH_]
      )
  
      train_paths, validation_paths = self._split_archive(
          dl_manager.iter_archive(dl_path)
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "archive": dl_manager.iter_archive(dl_path),
                  "file_list": train_paths,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "archive": dl_manager.iter_archive(dl_path),
                  "file_list": validation_paths,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "archive": dl_manager.iter_archive(dl_test_path),
                  "file_list": None,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/speech_commands/speech_commands_dataset_builder.py
imports: import os
  import numpy
  from tensorflow_datasets.core import lazy_imports_lib
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list